Sciweavers

151 search results - page 3 / 31
» Rearranging data objects for efficient and stable clustering
Sort
View
DBISP2P
2004
Springer
162views Database» more  DBISP2P 2004»
13 years 11 months ago
CISS: An Efficient Object Clustering Framework for DHT-Based Peer-to-Peer Applications
Distributed Hash Tables (DHTs) have been widely adopted in many Internet-scale P2P systems. Emerging P2P applications such as massively multi player online games (MMOGs) and P2P ca...
Jinwon Lee, Hyonik Lee, Seungwoo Kang, Sungwon Pet...
DAGM
2008
Springer
13 years 8 months ago
Boosting for Model-Based Data Clustering
In this paper a novel and generic approach for model-based data clustering in a boosting framework is presented. This method uses the forward stagewise additive modeling to learn t...
Amir Saffari, Horst Bischof
TKDE
2002
168views more  TKDE 2002»
13 years 5 months ago
CLARANS: A Method for Clustering Objects for Spatial Data Mining
Spatial data mining is the discovery of interesting relationships and characteristics that may exist implicitly in spatial databases. To this end, this paper has three main contrib...
Raymond T. Ng, Jiawei Han
POPL
2002
ACM
14 years 6 months ago
An efficient profile-analysis framework for data-layout optimizations
Data-layout optimizations rearrange fields within objects, objects within objects, and objects within the heap, with the goal of increasing spatial locality. While the importance ...
Rastislav Bodík, Shai Rubin, Trishul M. Chi...
DMKD
1997
ACM
308views Data Mining» more  DMKD 1997»
13 years 10 months ago
A Fast Clustering Algorithm to Cluster Very Large Categorical Data Sets in Data Mining
Partitioning a large set of objects into homogeneous clusters is a fundamental operation in data mining. The k-means algorithm is best suited for implementing this operation becau...
Zhexue Huang